Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "110" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 55 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 53 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459870 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.042260 | 51.482204 | -0.150098 | 63.632404 | 0.630874 | 17.266128 | 0.983233 | 10.147680 | 0.7167 | 0.0325 | 0.4911 | nan | nan |
| 2459869 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.369395 | 41.921092 | -0.013539 | 63.113122 | 0.415380 | 22.298713 | 0.417732 | 8.124043 | 0.7327 | 0.0337 | 0.4909 | nan | nan |
| 2459868 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459867 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.596956 | 33.790219 | -0.481280 | 76.167075 | -0.870436 | 9.507609 | -0.100748 | 6.810520 | 0.7213 | 0.0335 | 0.4968 | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.846418 | 38.124150 | -0.349327 | 71.780815 | -0.560294 | 10.563472 | 0.094697 | 3.298841 | 0.7207 | 0.0365 | 0.4970 | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.864109 | 43.173719 | -0.879324 | 88.421673 | -1.276685 | 23.198651 | -0.461035 | 13.799492 | 0.7488 | 0.0298 | 0.4426 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.802507 | 52.018895 | 1.452245 | 36.974254 | -0.489861 | 12.951206 | 1.740078 | 11.879381 | 0.7206 | 0.0306 | 0.5121 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.885974 | 32.855152 | -1.301488 | 11.841920 | -0.248778 | 4.773038 | -0.149332 | 5.455182 | 0.7177 | 0.0312 | 0.5020 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 18.472878 | 34.250076 | 0.971836 | 42.735042 | 20.324072 | 18.428366 | 17.062634 | 4.260512 | 0.6409 | 0.0333 | 0.4093 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.093543 | 26.105702 | -0.851301 | 11.995187 | 9.047116 | 2.986384 | 15.212732 | 5.013580 | 0.6816 | 0.0298 | 0.4355 | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 13.204842 | 28.253361 | 0.559330 | 35.162849 | 25.453509 | 21.006660 | 6.837963 | 4.260691 | 0.6683 | 0.0302 | 0.4294 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 17.907591 | 24.637130 | -0.363957 | 12.795327 | 7.078635 | 2.688175 | 58.096939 | 2.942980 | 0.6457 | 0.0317 | 0.4096 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 10.544367 | 26.493348 | -0.853103 | 13.188700 | 11.819864 | 2.673238 | 20.830722 | 5.179574 | 0.6887 | 0.0311 | 0.4474 | 4.863246 | 1.185905 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.783413 | 8.240492 | 2.988055 | 5.843049 | 6.003456 | 286.588486 | 3.838755 | 15.051160 | 0.0231 | 0.0207 | 0.0013 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 34.290086 | 41.741849 | 1.122833 | 1.542410 | 6.354988 | 6.758462 | 35.087797 | 21.294014 | 0.6348 | 0.6118 | 0.2551 | 3.701058 | 2.884498 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 39.238582 | 23.809119 | 1.110745 | 0.106442 | 5.495454 | 9.503315 | 26.022016 | 53.945722 | 0.6074 | 0.6822 | 0.3664 | 3.218666 | 2.662705 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 43.734243 | 15.548927 | 1.403857 | -0.224798 | 1.053406 | 9.372034 | 2.457660 | 41.662748 | 0.6425 | 0.7294 | 0.3693 | 3.176857 | 2.569850 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 32.771297 | 12.738302 | 2.016288 | 0.042453 | 4.810441 | 9.782669 | 7.604390 | 39.766337 | 0.6429 | 0.6759 | 0.3438 | 4.201306 | 3.299448 |
| 2459852 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 30.923847 | 13.675496 | 0.870483 | 1.966056 | 12.039313 | 11.764239 | 5.806499 | 7.928258 | 0.8060 | 0.8162 | 0.1847 | 8.193686 | 4.824846 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 30.259083 | 10.818195 | 2.613079 | 0.141536 | 12.941776 | 17.569532 | 9.125928 | 17.776151 | 0.6762 | 0.7236 | 0.2729 | 5.579887 | 3.110578 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 34.444798 | 5.772837 | 2.048233 | -0.475078 | 3.815921 | 10.626340 | 2.793563 | 14.479881 | 0.6687 | 0.7603 | 0.3094 | 3.666848 | 3.258201 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 36.849263 | 12.306627 | 6.499917 | 3.089093 | 9.777059 | 14.581416 | 3.707593 | 33.649200 | 0.6606 | 0.7399 | 0.2936 | 4.396035 | 3.880605 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 35.900669 | 14.224760 | 4.690257 | 2.716259 | 5.216715 | 20.150230 | 2.300506 | 28.422787 | 0.6497 | 0.7423 | 0.3190 | 3.794538 | 2.852219 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 38.160811 | 17.753202 | 4.343148 | 2.049183 | 4.034463 | 15.144989 | 4.504109 | 47.490873 | 0.6263 | 0.6651 | 0.3327 | 3.952072 | 3.308796 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 40.610875 | 36.656268 | 6.539096 | 3.991094 | 10.477332 | 20.059067 | 6.700520 | 64.034108 | 0.6761 | 0.6983 | 0.2559 | 3.406866 | 3.222357 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 42.328072 | 33.172084 | 10.683393 | 16.395670 | 6.403336 | 8.114447 | 3.732210 | 5.490823 | 0.0234 | 0.0224 | 0.0005 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 0.66% | 0.66% | 0.00% | 100.00% | 0.00% | 45.557218 | 54.968374 | 1.245715 | 1.195107 | 6.510872 | 6.872867 | 3.403751 | 26.294848 | 0.6701 | 0.6412 | 0.2264 | 3.881386 | 3.990967 |
| 2459842 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 23.106828 | 22.774718 | -0.358558 | 1.130461 | 0.346520 | -1.517066 | -0.267742 | -0.017719 | 0.6476 | 0.6146 | 0.1040 | 6.847735 | 7.948144 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 39.948984 | 29.273405 | 5.537389 | 8.427225 | 10.954306 | 3.197943 | 3.090552 | 4.040658 | 0.0241 | 0.0230 | 0.0007 | nan | nan |
| 2459840 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 70.763713 | 61.151213 | 15.993527 | 14.754118 | 3.734956 | 5.096691 | 14.665683 | 14.238675 | 0.0200 | 0.0196 | 0.0003 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | 17.901921 | 14.981043 | 38.098157 | 35.721896 | 1.779421 | 0.875108 | 20.206378 | 19.064209 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0325 | 0.0410 | 0.0030 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 2.252740 | 1.690931 | 0.278431 | -0.089468 | 0.642263 | 1.253783 | -1.203543 | -1.428217 | 0.0319 | 0.0375 | 0.0029 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.943352 | 9.676677 | 3.200277 | 4.411755 | 4.905898 | 2.718524 | 2.711587 | 3.646901 | 0.0245 | 0.0274 | 0.0018 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 0.00% | 37.63% | 0.00% | 100.00% | 0.00% | 59.290589 | 42.000749 | 1.609925 | 0.700233 | 2.576981 | 4.728266 | 1.768138 | 13.422639 | 0.6540 | 0.4049 | 0.3923 | 3.769070 | 3.678631 |
| 2459831 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.576982 | 15.796618 | 40.881210 | 38.450815 | 1.094991 | 0.665971 | 14.114827 | 13.630626 | 0.0209 | 0.0225 | 0.0006 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 37.63% | 0.00% | 100.00% | 0.00% | 58.968753 | 38.697246 | 2.679384 | 1.171127 | 3.470851 | 14.521054 | 0.919307 | 7.004849 | 0.6556 | 0.4064 | 0.3926 | 5.960693 | 5.849226 |
| 2459829 | RF_maintenance | 100.00% | 6.44% | 15.57% | 0.00% | 100.00% | 0.00% | 62.753237 | 62.922491 | 2.294377 | 1.733154 | 7.177482 | 11.274513 | 0.614894 | 3.485840 | 0.5701 | 0.4911 | 0.2521 | 13.308760 | 11.740498 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 55.772017 | 9.597379 | 2.747278 | 0.443403 | 5.111931 | 15.582834 | 1.021416 | 9.571216 | 0.6564 | 0.4581 | 0.4105 | 8.652034 | 6.387176 |
| 2459827 | RF_maintenance | 100.00% | 3.22% | 6.98% | 0.00% | 100.00% | 0.00% | 47.387118 | 46.311408 | 3.245171 | 2.333231 | 5.657968 | 12.180788 | 6.537118 | 54.446141 | 0.5835 | 0.5060 | 0.2490 | 7.250030 | 6.757581 |
| 2459826 | RF_maintenance | 100.00% | 16.13% | 16.13% | 0.00% | 100.00% | 0.00% | 42.138319 | 29.355459 | 3.193249 | 1.827633 | 3.119876 | 12.093307 | -0.486709 | 0.275052 | 0.5962 | 0.3900 | 0.3076 | 10.807184 | 10.079040 |
| 2459825 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 45.640748 | 29.894714 | 2.160065 | 1.427775 | 2.814173 | 7.057978 | 1.733138 | 5.060396 | 0.0954 | 0.0843 | 0.0082 | 0.000000 | 0.000000 |
| 2459824 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 34.505409 | 47.810739 | 1.922752 | 2.070559 | 6.171401 | 8.026950 | 3.584520 | 3.068530 | 0.0942 | 0.0974 | 0.0092 | 0.000000 | 0.000000 |
| 2459823 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 37.172853 | 21.260132 | 3.618400 | 2.725596 | 2.767622 | 7.587693 | 0.193587 | 3.446821 | 0.0950 | 0.0869 | 0.0096 | 0.000000 | 0.000000 |
| 2459822 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 46.602376 | 20.586506 | 3.515580 | 0.884239 | 2.499541 | 11.805776 | 6.335611 | 41.834650 | 0.0851 | 0.0695 | 0.0078 | 0.000000 | 0.000000 |
| 2459821 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 50.144298 | 21.629416 | 3.333955 | 0.831731 | 3.599617 | 8.771377 | 5.268094 | 31.991060 | 0.0807 | 0.0686 | 0.0073 | 1.175546 | 1.169647 |
| 2459820 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 53.683832 | 11.047193 | 3.225928 | 0.847299 | 15.192088 | 29.625165 | 1.306939 | 13.130319 | 0.0879 | 0.0640 | 0.0103 | 0.000000 | 0.000000 |
| 2459817 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 50.601610 | 1.826801 | 3.499641 | 1.586679 | 5.271235 | 0.350115 | 0.400742 | -0.286564 | 0.0851 | 0.0696 | 0.0081 | 15.835970 | 40.536019 |
| 2459816 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 42.103240 | 2.032533 | 3.433780 | 1.339186 | 9.823899 | -0.539308 | 0.463111 | -1.041632 | 0.0935 | 0.0643 | 0.0063 | 1.065561 | 1.029590 |
| 2459815 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 44.466769 | 1.594769 | 3.707334 | 1.362512 | 8.229055 | -0.859494 | 0.540230 | -0.170315 | 0.0921 | 0.0736 | 0.0069 | 0.000000 | 0.000000 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 70.179473 | 35.049940 | 2.177910 | 0.663017 | 20.322629 | 30.717868 | 1.549857 | 6.507100 | 0.1354 | 0.1153 | 0.0129 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 63.632404 | 1.042260 | 51.482204 | -0.150098 | 63.632404 | 0.630874 | 17.266128 | 0.983233 | 10.147680 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 63.113122 | 0.369395 | 41.921092 | -0.013539 | 63.113122 | 0.415380 | 22.298713 | 0.417732 | 8.124043 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 76.167075 | 0.596956 | 33.790219 | -0.481280 | 76.167075 | -0.870436 | 9.507609 | -0.100748 | 6.810520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 71.780815 | 38.124150 | 0.846418 | 71.780815 | -0.349327 | 10.563472 | -0.560294 | 3.298841 | 0.094697 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 88.421673 | 0.864109 | 43.173719 | -0.879324 | 88.421673 | -1.276685 | 23.198651 | -0.461035 | 13.799492 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 52.018895 | 52.018895 | 0.802507 | 36.974254 | 1.452245 | 12.951206 | -0.489861 | 11.879381 | 1.740078 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 32.855152 | 0.885974 | 32.855152 | -1.301488 | 11.841920 | -0.248778 | 4.773038 | -0.149332 | 5.455182 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 42.735042 | 18.472878 | 34.250076 | 0.971836 | 42.735042 | 20.324072 | 18.428366 | 17.062634 | 4.260512 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 26.105702 | 26.105702 | 8.093543 | 11.995187 | -0.851301 | 2.986384 | 9.047116 | 5.013580 | 15.212732 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Power | 35.162849 | 13.204842 | 28.253361 | 0.559330 | 35.162849 | 25.453509 | 21.006660 | 6.837963 | 4.260691 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Temporal Discontinuties | 58.096939 | 17.907591 | 24.637130 | -0.363957 | 12.795327 | 7.078635 | 2.688175 | 58.096939 | 2.942980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 26.493348 | 26.493348 | 10.544367 | 13.188700 | -0.853103 | 2.673238 | 11.819864 | 5.179574 | 20.830722 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Variability | 286.588486 | 8.240492 | 17.783413 | 5.843049 | 2.988055 | 286.588486 | 6.003456 | 15.051160 | 3.838755 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 41.741849 | 34.290086 | 41.741849 | 1.122833 | 1.542410 | 6.354988 | 6.758462 | 35.087797 | 21.294014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Discontinuties | 53.945722 | 23.809119 | 39.238582 | 0.106442 | 1.110745 | 9.503315 | 5.495454 | 53.945722 | 26.022016 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 43.734243 | 15.548927 | 43.734243 | -0.224798 | 1.403857 | 9.372034 | 1.053406 | 41.662748 | 2.457660 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Discontinuties | 39.766337 | 12.738302 | 32.771297 | 0.042453 | 2.016288 | 9.782669 | 4.810441 | 39.766337 | 7.604390 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 30.923847 | 30.923847 | 13.675496 | 0.870483 | 1.966056 | 12.039313 | 11.764239 | 5.806499 | 7.928258 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 30.259083 | 30.259083 | 10.818195 | 2.613079 | 0.141536 | 12.941776 | 17.569532 | 9.125928 | 17.776151 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 34.444798 | 34.444798 | 5.772837 | 2.048233 | -0.475078 | 3.815921 | 10.626340 | 2.793563 | 14.479881 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 36.849263 | 36.849263 | 12.306627 | 6.499917 | 3.089093 | 9.777059 | 14.581416 | 3.707593 | 33.649200 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 35.900669 | 14.224760 | 35.900669 | 2.716259 | 4.690257 | 20.150230 | 5.216715 | 28.422787 | 2.300506 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Discontinuties | 47.490873 | 17.753202 | 38.160811 | 2.049183 | 4.343148 | 15.144989 | 4.034463 | 47.490873 | 4.504109 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Discontinuties | 64.034108 | 36.656268 | 40.610875 | 3.991094 | 6.539096 | 20.059067 | 10.477332 | 64.034108 | 6.700520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 42.328072 | 42.328072 | 33.172084 | 10.683393 | 16.395670 | 6.403336 | 8.114447 | 3.732210 | 5.490823 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 54.968374 | 54.968374 | 45.557218 | 1.195107 | 1.245715 | 6.872867 | 6.510872 | 26.294848 | 3.403751 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 23.106828 | 23.106828 | 22.774718 | -0.358558 | 1.130461 | 0.346520 | -1.517066 | -0.267742 | -0.017719 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 39.948984 | 39.948984 | 29.273405 | 5.537389 | 8.427225 | 10.954306 | 3.197943 | 3.090552 | 4.040658 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 70.763713 | 70.763713 | 61.151213 | 15.993527 | 14.754118 | 3.734956 | 5.096691 | 14.665683 | 14.238675 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Power | 38.098157 | 14.981043 | 17.901921 | 35.721896 | 38.098157 | 0.875108 | 1.779421 | 19.064209 | 20.206378 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 2.252740 | 1.690931 | 2.252740 | -0.089468 | 0.278431 | 1.253783 | 0.642263 | -1.428217 | -1.203543 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 11.943352 | 9.676677 | 11.943352 | 4.411755 | 3.200277 | 2.718524 | 4.905898 | 3.646901 | 2.711587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 59.290589 | 59.290589 | 42.000749 | 1.609925 | 0.700233 | 2.576981 | 4.728266 | 1.768138 | 13.422639 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Power | 40.881210 | 18.576982 | 15.796618 | 40.881210 | 38.450815 | 1.094991 | 0.665971 | 14.114827 | 13.630626 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 58.968753 | 58.968753 | 38.697246 | 2.679384 | 1.171127 | 3.470851 | 14.521054 | 0.919307 | 7.004849 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 62.922491 | 62.922491 | 62.753237 | 1.733154 | 2.294377 | 11.274513 | 7.177482 | 3.485840 | 0.614894 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 55.772017 | 9.597379 | 55.772017 | 0.443403 | 2.747278 | 15.582834 | 5.111931 | 9.571216 | 1.021416 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Temporal Discontinuties | 54.446141 | 47.387118 | 46.311408 | 3.245171 | 2.333231 | 5.657968 | 12.180788 | 6.537118 | 54.446141 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 42.138319 | 29.355459 | 42.138319 | 1.827633 | 3.193249 | 12.093307 | 3.119876 | 0.275052 | -0.486709 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 45.640748 | 29.894714 | 45.640748 | 1.427775 | 2.160065 | 7.057978 | 2.814173 | 5.060396 | 1.733138 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | 47.810739 | 34.505409 | 47.810739 | 1.922752 | 2.070559 | 6.171401 | 8.026950 | 3.584520 | 3.068530 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 37.172853 | 21.260132 | 37.172853 | 2.725596 | 3.618400 | 7.587693 | 2.767622 | 3.446821 | 0.193587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 46.602376 | 46.602376 | 20.586506 | 3.515580 | 0.884239 | 2.499541 | 11.805776 | 6.335611 | 41.834650 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 50.144298 | 21.629416 | 50.144298 | 0.831731 | 3.333955 | 8.771377 | 3.599617 | 31.991060 | 5.268094 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 53.683832 | 53.683832 | 11.047193 | 3.225928 | 0.847299 | 15.192088 | 29.625165 | 1.306939 | 13.130319 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 50.601610 | 50.601610 | 1.826801 | 3.499641 | 1.586679 | 5.271235 | 0.350115 | 0.400742 | -0.286564 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 42.103240 | 2.032533 | 42.103240 | 1.339186 | 3.433780 | -0.539308 | 9.823899 | -1.041632 | 0.463111 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 44.466769 | 1.594769 | 44.466769 | 1.362512 | 3.707334 | -0.859494 | 8.229055 | -0.170315 | 0.540230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110 | N10 | RF_maintenance | ee Shape | 70.179473 | 35.049940 | 70.179473 | 0.663017 | 2.177910 | 30.717868 | 20.322629 | 6.507100 | 1.549857 |